Detection of abnormalities in mammograms using deep features-Reference-Cited by-同舟云学术

Detection of abnormalities in mammograms using deep features

Published:2019-12-14 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Tavakoli Nasrin,Karimi Maryam,Norouzi Alireza,Karimi Nader,Samavi Shadrokh,Soroushmehr S. M. Reza^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-019-01639-x.pdf

Reference49 articles.

1. Abbas Q (2016) DeepCAD: a computer-aided diagnosis system for mammographic masses using deep invariant features. Computers. https://doi.org/10.3390/computers5040028

2. Agrawal P, Vatsa M, Singh R (2014) Saliency-based mass detection from screening mammograms. Signal Processing 99:29–47

3. American Cancer Society (2011) Breast cancer facts and figures 2011–2012. American Cancer Society Inc, Atlanta

4. American College of Radiology (2013) BI-RADS ATLAS Mammography. Reporting System. https://www.acr.org/-/media/ACR/Files/RADS/BI-RADS/Mammography-Reporting.pdf Accessed 13 June 2019.

5. Ancy CA, Nair LS (2017) An efficient CAD for detection of tumor in mammograms using SVM. In: Proceedings of ICCSP 2017 International Conference on Communication and Signal Processing, Chennai, India.

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